Performance evaluation of long integer multiplication using OpenMP and MPI on shared memory architecture. - Jitendra V. Tembhurne; Shailesh R. Sathe (IC3, 2014)

A Parallelization of Non-Serial Polyadic Dynamic Programming on GPU. - Tausif Diwan; Jitendra V. Tembhurne (J. Comput. Inf. Technol., 2019)

A Work Distribution Strategy for Global sequence Alignment. - Kailash W. Kalare; Jitendra V. Tembhurne (Int. J. Comput., 2019)

Parallelization of Global Sequence Alignment on Graphics Processing Unit. - Kailash W. Kalare; Mohammad S. Obaidat; Jitendra V. Tembhurne; Chandrashekhar Meshram; Kuei-Fang Hsiao (CCCI, 2020)

A subtree-based transformation model for cryptosystem using chaotic maps under cloud computing environment for fuzzy user data sharing. - Chandrashekhar Meshram; Cheng-Chi Lee; Abhay S. Ranadive; Chun-Ta Li; Sarita Gajbhiye Meshram; Jitendra V. Tembhurne (Int. J. Commun. Syst., 2020)

A multi-class skin Cancer classification using deep convolutional neural networks. - Saket S. Chaturvedi; Jitendra V. Tembhurne; Tausif Diwan (Multim. Tools Appl., 2020)

An Efficient Provably Secure Verifier-Based Three-Factor Authentication Technique Using PDL for Data Exchange in TMIS. - Vishesh P. Gaikwad; Jitendra V. Tembhurne; Chandrashekhar Meshram; Cheng-Chi Lee; Chun-Ta Li (IEEE Access, 2021)

A Provably Secure Lightweight Subtree-Based Short Signature Scheme With Fuzzy User Data Sharing for Human-Centered IoT. - Chandrashekhar Meshram; Ahmed Alsanad; Jitendra V. Tembhurne; Shailendra W. Shende; Kailash Wamanrao Kalare; Sarita Gajbhiye Meshram; Muhammad Azeem Akbar; Abdu Gumaei (IEEE Access, 2021)

Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks. - Jitendra V. Tembhurne; Tausif Diwan (Multim. Tools Appl., 2021)

BrC-MCDLM: breast Cancer detection using Multi-Channel deep learning model. - Jitendra V. Tembhurne; Anupama Hazarika; Tausif Diwan (Multim. Tools Appl., 2021)

A Lightweight Provably Secure Digital Short-Signature Technique Using Extended Chaotic Maps for Human-Centered IoT Systems. - Chandrashekhar Meshram; Mohammad S. Obaidat; Jitendra V. Tembhurne; Shailendra W. Shende; Kailash W. Kalare; Sarita Gajbhiye Meshram (IEEE Syst. J., 2021)

An effective mobile-healthcare emerging emergency medical system using conformable chaotic maps. - Chandrashekhar Meshram; Rabha W. Ibrahim; Mohammad S. Obaidat; Balqies Sadoun; Sarita Gajbhiye Meshram; Jitendra V. Tembhurne (Soft Comput., 2021)

Provably secure lightweight client authentication scheme with anonymity for TMIS using chaotic hash function. - Vishesh P. Gaikwad; Jitendra V. Tembhurne; Chandrashekhar Meshram; Cheng-Chi Lee (J. Supercomput., 2021)

Multi-channel Deep Model for Classification of Alzheimer's Disease Using Transfer Learning. - Sriram Dharwada; Jitendra V. Tembhurne; Tausif Diwan (ICDCIT, 2022)

Script-Independent Text Segmentation from Document Images. - Parul Sahare; Jitendra V. Tembhurne; Mayur Rajaram Parate; Tausif Diwan; Sanjay B. Dhok (Int. J. Ambient Comput. Intell., 2022)

Identification of Plant Diseases Using Multi-Level Classification Deep Model. - Jitendra V. Tembhurne; Tarun Saxena; Tausif Diwan (Int. J. Ambient Comput. Intell., 2022)

Mc-DNN: Fake News Detection Using Multi-Channel Deep Neural Networks. - Jitendra V. Tembhurne; Md. Moin Almin; Tausif Diwan (Int. J. Semantic Web Inf. Syst., 2022)

Sentiment analysis: a convolutional neural networks perspective. - Tausif Diwan; Jitendra V. Tembhurne (Multim. Tools Appl., 2022)

Object detection using YOLO: challenges, architectural successors, datasets and applications. - Tausif Diwan; G. Anirudh; Jitendra V. Tembhurne (Multim. Tools Appl., 2023)

Improvised detection of deepfakes from visual inputs using light weight deep ensemble model. - Saroj Kumar Panda; Tausif Diwan; Omprakash G. Kakde; Jitendra V. Tembhurne (Multim. Tools Appl., 2023)

Plant disease detection using deep learning based Mobile application. - Jitendra V. Tembhurne; Saurav M. Gajbhiye; Vedant R. Gannarpwar; Harshal R. Khandait; Purva R. Goydani; Tausif Diwan (Multim. Tools Appl., 2023)

Skin cancer detection using ensemble of machine learning and deep learning techniques. - Jitendra V. Tembhurne; Nachiketa Hebbar; Hemprasad Yashwant Patil; Tausif Diwan (Multim. Tools Appl., 2023)

A Clustering-Based 3D Localization in Wireless Sensor Networks Using RSSI and AoA. - Dipak W. Wajgi; Jitendra V. Tembhurne (SN Comput. Sci., 2023)

COVID-19 Twitter Sentiment Classification Using Hybrid Deep Learning Model Based on Grid Search Methodology. - Jitendra V. Tembhurne; Anant Agrawal; Kirtan Lakhotia (CoRR, 2024)

An Optimal Weighted Ensemble of 3D CNNs for Early Diagnosis of Alzheimer's Disease. - Sriram Dharwada; Jitendra V. Tembhurne; Tausif Diwan (SN Comput. Sci., 2024)

Localization in wireless sensor networks and wireless multimedia sensor networks using clustering techniques. - Dipak W. Wajgi; Jitendra V. Tembhurne (Multim. Tools Appl., 2024)

Correction: Localization in wireless sensor networks and wireless multimedia sensor networks using clustering techniques. - Dipak W. Wajgi; Jitendra V. Tembhurne (Multim. Tools Appl., 2024)

Personalized federated learning for the detection of COVID-19. - Dharwada Sesha Sriram; Aseem Ranjan; Vedant Ghuge; Naveen Rathore; Raghav Agarwal; Tausif Diwan; Jitendra V. Tembhurne (Multim. Tools Appl., 2024)

Deep learning based authentication schemes for smart devices in different modalities: progress, challenges, performance, datasets and future directions. - Shailendra W. Shende; Jitendra V. Tembhurne; Nishat Afshan Ansari (Multim. Tools Appl., 2024)

GA-MPG: efficient genetic algorithm for improvised mobile plan generation. - Rohan S. Shukla; Ekta A. Ghuse; Tausif Diwan; Jitendra V. Tembhurne; Parul Sahare (J. Ambient Intell. Humaniz. Comput., 2024)

Twitter sentiment analysis using ensemble of multi-channel model based on machine learning and deep learning techniques. - Jitendra V. Tembhurne; Kirtan Lakhotia; Anant Agrawal (Knowl. Inf. Syst., 2025)

Early detection of stroke disease using patients previous medical data instil with deep learning. - Tausif Diwan; Saurav M. Gajbhiye; Purva R. Goydani; Vedant R. Gannarpwar; Harshal R. Khandait; Jitendra V. Tembhurne; Parul Sahare (Multim. Tools Appl., 2025)